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- OPEN ACCESS
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Identification of Cirrhosis Subtypes Through Heterogeneous Medical Information Network
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Jun Li1,
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Xin Dong5,
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Ya-Na Zhou1,2,3,4,
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Hui-Kun Wu1,2,3,4,
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Xiao-Dong Li1,2,3,4,* and
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Xue-Zhong Zhou5,*
Author information
Clinical College of Traditional Chinese Medicine, Hubei University of Chinese Medicine, Hubei 430061, China
Hubei Key Laboratory of Liver and Kidney Research and Application of Traditional Chinese Medicine, Hubei Provincial Hospital of Traditional Chinese Medicine, Hubei 430061, China
Affiliated Hospital of Hubei University of Traditional Chinese Medicine, Hubei 430061, China
Hubei Academy of Traditional Chinese Medicine, Hubei 430074, China
Institute of Medical Intelligence, School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100063, China
Correspondence to: Xiao-Dong Li, Clinical College of Traditional Chinese Medicine, Hubei University of Chinese Medicine, Hubei 430061, China; Xue-Zhong Zhou, Institute of Medical Intelligence, School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100063, China.
Abstract
Background
Liver cirrhosis is a complex and heterogeneous disease, with a mortality rate of up to 57%, resulting in 1.03 million deaths per year. The prevalence of liver cirrhosis is on the rise. Patients with liver cirrhosis have a variety of clinical phenotypes and are prone to various complications related to liver cirrhosis. Therefore, there is an urgent need to improve the early prevention and clinical management of cirrhosis and its complications.
Methods
We use a precise medical approach to analyze and characterize the complex manifestations of cirrhotic patient populations, and we propose a Heterogeneous Medical Record Network (HEMnet) that includes electronic medical records, molecular interaction networks, and domain knowledge. We train the network embedding vector on HEMnet to obtain the low-dimensional vector representation of each node. With these vectors, we enriched the original medical record and identified six subtypes of cirrhosis.
Results
Subtype 1 is characterized by heart disease, and subtype 2 has the strongest association with metabolic-related diseases. Subtype 3 was characterized by Chronic gastritis diseases. Subtype 4 was characterized by Liver cirrhosis-related complications-serous effusion. Subtype 5 had the strongest association with hepatitis-cirrhosis-related complications diseases and gallbladder disease. Subtype 6 was most strongly associated with Liver cirrhosis-related complications and hepatic carcinoma. By assessing the human disease-gene association of each subtype, the rich phenotype and biological functions of each subtype at the gene level were matched to the disease comorbidities and clinical differences we identified through EHR.
Conclusion
Our approach demonstrates the utility of applying a precision medicine paradigm to cirrhosis and the prospect of extending this approach to other complexes, multifactorial diseases.
Keywords
heterogeneous medical record network,
liver cirrhosis,
subtype,
characteristics
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Copyright © 2025 Authors.
This is an Open Access article distributed under the terms of the Creative Commons Attribution-Noncommercial 4.0 License (CC BY-NC 4.0), permitting all non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Li J, Dong X, Zhou YN, Wu HK, Li XD, Zhou XZ. Identification of Cirrhosis Subtypes Through Heterogeneous Medical Information Network. Gastroenterol & Hepatol Res. 2022;4(3):14. doi: 10.53388/ghr2022-09-056.
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Article History
| Received |
Revised |
Accepted |
Published |
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September 25, 2022
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DOI
http://dx.doi.org/10.53388/ghr2022-09-056
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Gastroenterology & Hepatology Research
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eISSN 2703-173X